---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
        names:
          '0': airplane
          '1': baseball field
          '2': basketball court
          '3': beach
          '4': bridge
          '5': cemetery
          '6': chaparral
          '7': christmas tree farm
          '8': closed road
          '9': coastal mansion
          '10': crosswalk
          '11': dense residential
          '12': ferry terminal
          '13': football field
          '14': forest
          '15': freeway
          '16': golf course
          '17': harbor
          '18': intersection
          '19': mobile home park
          '20': nursing home
          '21': oil gas field
          '22': oil well
          '23': overpass
          '24': parking lot
          '25': parking space
          '26': railway
          '27': river
          '28': runway
          '29': runway marking
          '30': shipping yard
          '31': solar panel
          '32': sparse residential
          '33': storage tank
          '34': swimming pool
          '35': tennis court
          '36': transformer station
          '37': wastewater treatment plant
  splits:
  - name: train
    num_bytes: 821222673.6
    num_examples: 30400
  download_size: 1422129774
  dataset_size: 821222673.6
license: other
task_categories:
- image-classification
- zero-shot-image-classification
---
# Dataset Card for "PatternNet"

## Dataset Description

- **Paper** [PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval](https://www.sciencedirect.com/science/article/pii/S0924271618300042)

### Licensing Information

For research purposes.

## Citation Information

[PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval](https://www.sciencedirect.com/science/article/pii/S0924271618300042)

```
@article{zhou2018patternnet,
  title        = {PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval},
  author       = {Zhou, Weixun and Newsam, Shawn and Li, Congmin and Shao, Zhenfeng},
  year         = 2018,
  journal      = {ISPRS journal of photogrammetry and remote sensing},
  publisher    = {Elsevier},
  volume       = 145,
  pages        = {197--209}
}
```